Multiple infections of respiratory viruses are common in patients with clinical respiratory diseases, but current detection methods still have problems such as complex equipment and long detection time. Rapid, low-cost, and on-site detection of human respiratory viruses is crucial for both clinical diagnosis and population screening. In this research, we created a space-coded microfluidic chip (SC-Chip) for the recognition of nine respiratory viruses: influenza A virus, influenza B virus, severe acute respiratory syndrome coronavirus 2, human coronavirus OC43, human coronavirus NL63, human coronavirus HKU1, human respiratory syncytial virus, human parainfluenza virus, and human metapneumovirus. For the first time, a comprehensive sequence comparison among these viruses was performed to design the recombinase polymerase amplification (RPA) primers and Cas12a-crRNAs. The SC-Chip partitions samples amplified by RPA into spatially coded wells preloaded with CRISPR-Cas12a detection reagents, enabling the identification of all nine viral targets in a single test using a single fluorescence probe. The chip-based assay displays 9 respiratory viruses in less than 40 min with a minimum detection limit at a concentration of 10